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AI Security, Ethics and GovernancehardMultiple ChoiceObjective-mapped

AI0-001 AI Security, Ethics and Governance Practice Question

During a penetration test, a security engineer discovers that an AI-powered chatbot can be tricked into revealing sensitive customer data by using specially crafted prompts. What type of attack is this, and what is the best mitigation?

⚠ Common exam trap

The AI0-001 exam often tests the distinction between attacks that occur during training (e.g., data poisoning, model inversion) versus those that occur during inference (e.g., prompt injection), leading candidates to confuse the attack phase and choose a wrong mitigation.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Prompt injection attack; implement input validation and context sanitization

This is a prompt injection attack, where an attacker crafts inputs that cause the AI model to override its original instructions or constraints, leading to unintended behavior such as revealing sensitive data. The best mitigation is input validation and context sanitization, which filters or neutralizes malicious prompt content before it reaches the model, preventing the injection from succeeding.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Prompt injection attack; implement input validation and context sanitization

    Why this is correct

    Prompt injection exploits the model via crafted inputs; validation prevents it.

  • Model inversion attack; apply differential privacy during training

    Why it's wrong here

    Model inversion reconstructs training data, not prompt-based leaks.

  • Data poisoning attack; implement strict access controls

    Why it's wrong here

    Poisoning corrupts training data, not runtime prompts.

  • Membership inference attack; add noise to model outputs

    Why it's wrong here

    Membership inference determines if a record was used in training.

About these practice questions

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.